LV_er_lambdacov_global_effectcov_global_responsecov_global: Effect response Lotka-Volterra model with covariate effects...

In cxr: A Toolbox for Modelling Species Coexistence in R

Effect response Lotka-Volterra model with covariate effects on lambda, effect, and response

Description

Note that, as e and r are not pair-specific, all species parameters are fit in the same function.

Usage

LV_er_lambdacov_global_effectcov_global_responsecov_global(
  par,
  fitness,
  target,
  density,
  covariates,
  fixed_parameters
)

Arguments

par	1d vector with initial parameters in the order: lambda,lambda_cov,effect,effect_cov,response,response_cov,sigma
fitness	1d vector with fitness observations
target	matrix with species in rows, observations in columns. Value is 1 if a species is focal for a given observation, 0 otherwise.
density	matrix with species in rows, observations in columns. Value is density of each sp as neighbour for each observation.
covariates	numeric dataframe or matrix with observations in rows and covariates in columns. Each cell is the value of a covariate in a given observation
fixed_parameters	optional list specifying values of fixed parameters, with components "lambda","lambda_cov","effect","effect_cov", "response","response_cov".

Value

log-likelihood value

cxr documentation built on Oct. 27, 2023, 1:08 a.m.